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Conferences / posit::conf (formerly rstudio::conf)

rstudio::conf(2022)

Jul 25–28, 2022 · Gaylord National Resort & Convention Center, National Harbor, MD, United States

Conference
posit::conf (formerly rstudio::conf) Data science & ML
Dates
Jul 25, 2022 – Jul 28, 2022
Venue
Gaylord National Resort & Convention Center
Place
National Harbor, MD, United States
Format
Hybrid
Status
Past
Attendance
—
Website
rstudio.com
Recorded
0 sponsors · 135 speaker appearances
Notes
Workshops Jul 25-26, conference Jul 27-28; talks were live-streamed. Last edition under the rstudio::conf name (RStudio announced its rename to Posit at this conference). Speakers and affiliations from the official program data (rstudio/rstudio-conf-2022-program program.json); workshops and instructors from the rstudio/rstudio-conf 2022 README (instructor affiliations only where they also appear in the talk program). Videos matched from Posit's 'rstudio::conf(2022)' YouTube playlist. Sponsors not found in archived pages.

Ticket prices

TicketPriceValid untilNotesSource
Early bird: conference only$699Apr 15, 2022First 200 seats or until April 15.web.archive.org
Early bird: conference + workshops$2,298Apr 15, 2022First 200 seats or until April 15.web.archive.org
Academic: workshops only$980—web.archive.org
General: conference only$1,399—web.archive.org
Academic: conference + workshops$1,475—Academic conference tickets sold out by July 2022.web.archive.org
General: conference + workshops$2,998—web.archive.org

Sponsors 0

No sponsors recorded

Speakers and talks 135

SpeakerCompanyRoleTalkLinks
Hadley WickhamRStudioKeynoteRStudio: 2022 and BeyondVideo
Jeff LeekFred Hutchinson Cancer CenterKeynoteData science training in communities with limited technology resources and opportunitiesVideo
JJ AllaireRStudioKeynoteRStudio: 2022 and BeyondVideo
Joe ChengRStudioKeynoteThe Past and Future of ShinyVideo
Julia SilgeRStudioKeynoteGood practices for applied machine learning - from model development to model deployment—
Julia Stewart LowndesOpenscapesKeynoteHello Quarto: Share • Collaborate • Teach • ReimagineVideo
Max KuhnRStudioKeynoteGood practices for applied machine learning - from model development to model deployment—
Mine Çetinkaya-RundelRStudio + Duke UniversityKeynoteHello Quarto: Share • Collaborate • Teach • ReimagineVideo
Aaron ChafetzUS Agency for International DevelopmentSpeakerDigging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal governmentSlides
Aaron R. WilliamsThe Urban InstituteSpeakerThe tidysynthesis R packageVideo
Aleksander DietrichsonUniversidad de San Martin & Chi Square LaboratoriesSpeakerMobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile.—
Alex FarachAccentureSpeakerLet's start at the beginning - bits to character encoding in RSlidesVideo
Alex Gold—WorkshopHow Data Science with R Works for Systems Administrators—
Alex LoPilato—WorkshopR for People Analytics—
Alice WalshPathos, R-Ladies PhillySpeakerBecoming Creative: How I Designed a Quilt with RSlidesVideo
Amelia McNamaraUniversity of St. ThomasSpeakerImplications of R syntax in intro statsVideo
Andreas Hofheinz—Speakerleafdown: Interactive multi-layer maps in Shiny appsSlidesVideo
Andrew Bray—WorkshopFrom R Markdown to Quarto—
Andy Nicholls—WorkshopClinical Reporting in R—
Andy PhamUCSF + California Dept. Public HealthSpeakerR Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring—
Anubhuti MishraPalladium InternationalSpeakerOptimal allocation of COVID-19 vaccines in west Africa - A Shiny success storyVideo
Barret SchloerkeRStudioSpeaker{shinytest2}: Regression testing for Shiny applicationsSlidesVideo
Beatriz MilzCurso-R, R-Ladies São Paulo and University of Sao PauloSpeakerMaking awesome automations with GitHub ActionsSlidesVideo
Becca KrouseGSKSpeakerR Package Assessment: Lessons from PharmaVideo
Ben MathesonMunicipality of Anchorage Innovation TeamSpeakerHow Anchorage Built Alaska’s Vaccine Finder with RVideo
Benjamin Braun202 GroupSpeakerData science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect—
Brian DanielakUniversity of Maryland – College ParkSpeakerDesigning a Socially-Critical Data Science CourseVideo
Bryan ShallowayNetAppSpeakerFrom summarizing projects to setting tags, uses of parsing R filesSlidesVideo
Caro BuckWunderman ThompsonSpeakerThe Benefit of Talking to the "Non-Datas"SlidesVideo
Cédric Scherer—WorkshopGraphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R—
Christina Fillmore—WorkshopClinical Reporting in R—
Colin GillespieJumping RiversSpeakerComparing package versions with DiffifySlidesVideo
Colin Rundel—WorkshopGetting Started with Shiny—
Dan CaleyCustom InkSpeakerDemystifying the art of creating custom libraries for your organizationVideo
Danielle DempseyCentre for Marine Applied ResearchSpeakerSave an ocean of time: streamline data wrangling with RSlidesVideo
Danielle Navarro—WorkshopMaking Art from Code: How the magic works, and the practical skills it teaches—
David Aja—WorkshopWhat They Forgot to Teach You About R—
David KeyesR for the Rest of UsSpeakerWhat they forgot to teach you about starting a business with RSlidesVideo
David Maguiredv01SpeakerRobust R Deployments: Building a Pipeline from RStudio to ProductionVideo
David RobinsonHeapSpeakerdbcooper: Turn any database into an R or Python packageVideo
David RobinsonHeapWorkshopMachine Learning with tidymodels—
David SmithMicrosoftSpeakerZero-setup R workshops with GitHub CodespacesSlidesVideo
Davis VaughanRStudioSpeakerIt's about timeSlidesVideo
Desirée De Leon—WorkshopIntroduction to the tidyverse—
Devin PastoorRStudioSpeakerWebsites & Books & Blogs, oh my! Creating Rich Content with QuartoVideo
Dewey DunningtonVoltron DataSpeakerAccelerating geospatial computing using Apache ArrowSlidesVideo
E. David AjaRStudioSpeakerYou should be using renvVideo
Ellis HughesGSKSpeakerPackages and ProcessVideo
Emil HvitfeldtRStudioSpeakertidyclust - expanding tidymodels to clusteringVideo
Emma Rand—WorkshopBuilding Tidy Tools—
Eric Nantz—WorkshopBuilding Production-Quality Shiny Applications—
Eric WanjauLeeds Institute for Data AnalyticsSpeakerA touch of R in RoboticsVideo
Gagandeep SinghRStudioSpeakerYes, you can use Python with RStudio Team!Video
Garrett Grolemund—WorkshopIntroduction to the tidyverse—
George StaggRStudioSpeakerWebR: R compiled for WebAssembly and running in the browserSlidesVideo
Greg SwinehartRStudioSpeakerDesigning for people is hardVideo
Hadley WickhamRStudioWorkshopPackage Development Masterclass—
Hadley WickhamRStudioSpeakerAn introduction to R7Video
Hamel Husainfast.aiSpeakerLiterate Programming With Jupyter Notebooks and QuartoSlidesVideo
Hannah FrickRStudioSpeakercensored - Survival Analysis in tidymodelsSlidesVideo
Hannah PodzorskiGSI EnvironmentalSpeakerAdvocating for Automation: Adapting Current Tools in Environmental Science through RSlidesVideo
Hezi BubaTel Aviv UniversitySpeakerDo It For Yourself: Creating a data input platform using RVideo
Hunter OwensCalifornia Department of TransportationSpeakerTidy Transit: Real Life Data Modeling for Public TransportationVideo
Ian Lyttle—WorkshopBuilding Tidy Tools—
Ian MuchiriDedan Kimathi University of TechnologySpeakerA touch of R in RoboticsVideo
Ileana FenwickUNC Chapel HillSpeakerA Journey to Data Science: Tools for Equity and Diversity in STEMVideo
Isaac FlorenceUK Health Security AgencySpeakerScaling and automating R workflows with Kubernetes and AirflowVideo
Isabel ZimmermanRStudioSpeakerDemystifying MLOpsVideo
Ivonne Carrillo Dominguez—SpeakerR Shiny - From Conception to the CloudVideo
Jacqueline NolisSaturn CloudSpeakerI made an entire e-commerce platform on ShinySlidesVideo
James BlairRStudioSpeakerR, Python, and Tableau: A Love TriangleVideo
Jamie RalphBumbleSpeakerDeveloping internal tools for multi-lingual teamsSlidesVideo
Jenny Bryan—WorkshopWhat They Forgot to Teach You About R—
Jim Kloet—SpeakerGarbage Data, And What To Do About ThemVideo
John GoldinYale UniversitySpeakerAn Introduction to the Apple Health ExportSlides
Johnny BreenTokio Marine KilnSpeakerModel Migration: from Excel to RVideo
Jon HarmonR4DS Online Learning CommunitySpeaker{shinyslack}: Connecting Slack Teams to Shiny AppsVideo
Jon NyeNational Institutes of HealthSpeakerSmall Team Large Organization: Building Impactful Shiny Dashboards at NIHVideo
Joran De WildeAXI Full Service RStudio PartnerSpeakerBuilding a client portal app for a mortgage management group with embedded Power BI reportsVideo
Josiah ParryThe NPD GroupSpeakerExploratory Spatial Data Analysis in the tidyverseSlidesVideo
Julia SilgeRStudioWorkshopMachine Learning with tidymodels—
June ChoeUniversity of PennsylvaniaSpeakerCracking open ggplot internals with {ggtrace}SlidesVideo
Kamil ZylaAppsilonSpeakerIntroducing Rhino: Shiny application framework for enterpriseVideo
Keith McNulty—WorkshopR for People Analytics—
Kelly BodwinCalifornia Polytechnic State UniversitySpeakerTranslating from {tidymodels} and scikit-learn: Lessons from a 'bilingual' course.SlidesVideo
Kelly O'BriantRStudioSpeakerRemote Content Execution with RStudio Connect and KubernetesSlidesVideo
Kiegan RiceNORC at the University of ChicagoSpeakerHow to be a pollinatoRSlidesVideo
Kirill Müllercynkra GmbHSpeakerdm: Analyze, build and deploy relational data modelsVideo
Kolbi ParrishCalifornia Dept. Public Health + UCSFSpeakerR Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring—
Lawrence Y. TelloCalifornia Department of Public HealthSpeakerAn Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio ConnectVideo
Lewis KirvanConsumer Financial Protection BureauSpeakerSometimes you just need wordsSlidesVideo
Liz Romero—WorkshopR for People Analytics—
Liz RotenMetropolitan CouncilSpeakerOddly Satisfying - Find delight in the mundaneSlidesVideo
Lucy D'Agostino McGowan—WorkshopCausal Inference in R—
Malcolm Barrett—WorkshopCausal Inference in R—
Maria Tackett—WorkshopDesigning the Data Science Classroom—
Mark RiekeMemorial Hermann Health SystemSpeakerIntroducing workboots: Generate prediction intervals from tidymodel workflowsSlidesVideo
Mark SellorsR4Pi.orgSpeakerThe worlds smallest R environment? Running R on a $15 computerVideo
Martin HenzeYipitDataSpeakerWe R KaggleRs - At the Intersection of Data Science CommunitiesVideo
Matthew KayNorthwestern UniversitySpeakerVisualizing distributions and uncertainty using ggdistSlidesVideo
Max KuhnRStudioWorkshopMachine Learning with tidymodels—
Maya GansAtorus ResearchSpeakerCreating a Design System for Shiny and RMarkdownVideo
Meghan HallBrown UniversitySpeakerCultivating Your Own R Ecosystem as a Solo ContributorSlidesVideo
Meghan S HarrisThe Prostate Cancer Clinical Trials ConsortiumSpeakerMaking Data Pipelines in R: A Story From A “Self-Taught” PerspectiveSlidesVideo
Melissa Van BusselStatistics CanadaSpeakerAchieving a seamless workflow between R, Python and SAS from within RStudioSlidesVideo
Mike Cheng—SpeakerThe Polygons of Another World - realtime interactive rendering in RSlidesVideo
Mike StackhouseAtorus ResearchSpeakerDive Deep into Metadata with TplyrVideo
Mine Çetinkaya-RundelRStudio + Duke UniversityWorkshopDesigning the Data Science Classroom—
Nic CraneVoltron DataSpeakerWhat they forgot to teach you about becoming an open source contributorVideo
Nicholas TierneyTelethon Kids Institute, Perth, AustraliaSpeakerThe Future of missing dataSlidesVideo
Nick StrayerRStudioSpeakerA new way to build your Shiny app's UIVideo
Nicola RennieJumping RiversSpeakerSay Hello! to Multilingual Shiny AppsSlidesVideo
Peter Gandenberger—SpeakerDashboard-Builder: Building Shiny Apps without writing any codeVideo
Prabhakar ThanikasalamFlexSpeakerEnterprise-Level Data Science SuccessVideo
Rachael DempseyRStudioSpeakerEverything I learned about community building, I learned from growing up in a restaurantVideo
Rebecca HadiLyn HealthSpeakerExploring Query Optimization: How a few lines of code can save hours of timeVideo
Ryan E Wade—SpeakerThe R integration in Power BI: Why R developers should be InterestedVideo
Shannon McClintock Pileggi—WorkshopWhat They Forgot to Teach You About R—
Shelmith Nyagathiri KariukiData Analytics ConsultantSpeakerLet your mobile shine - Leveraging CSS concepts to make shiny apps mobile responsiveSlides
Sigrid KeydanaRStudioSpeakerDissecting the quick fix: Analysing tech-solutionist solutionsVideo
Sydeaka WatsonEli LillySpeakerA Robust Framework for Automated Shiny App TestingVideo
Tan Ho—SpeakerProject Immortality: Using GitHub To Make Your Work Live ForeverSlidesVideo
Tanya CashoraliTCB AnalyticsSpeakerCross-Industry Anomaly Detection Solutions with R and ShinySlidesVideo
Thomas WoutersAXI Full Service RStudio PartnerSpeakerBuilding a client portal app for a mortgage management group with embedded Power BI reportsVideo
Tiger TangCARFAX, IncSpeakerSaving 1,000 hours with RStudio: selling R in your workplaceSlidesVideo
Tom MockRStudioWorkshopGetting Started with Quarto—
Tom MockRStudioSpeakerQuarto for the CuriousSlidesVideo
Tracy TealRStudioSpeakerThese are a few of my favorite things (about Quarto presentations)Video
Travis GerkeThe Prostate Cancer Clinical Trials ConsortiumSpeakerWhat they forgot to teach you about industry transitions from academia (WTF AITA)Video
Tyler Morgan-WallInstitute for Defense AnalysesSpeakerBuilding a ggplot2 rollercoaster: Creating amazing 3D data visualizations in RVideo
Weihuang WongNORC at the University of ChicagoSpeakerHow to be a pollinatoRSlidesVideo
Winston ChangRStudioSpeakerRunning Shiny without a serverVideo
Xu FeiRStudioSpeakerYes, you can use Python with RStudio Team!Video
Yihui XieRStudioSpeakerHighlights of the knitr package from the past two years—
Zhian N. KamvarThe CarpentriesSpeakerBuilding Accessible Lessons with R and FriendsSlidesVideo

Sources